Data Analytics for Business
Edition: 1
Copyright: 2023
Pages: 118
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$68.25
In this new era of data generation and gathering, data analytics is the basis for strategic business decision-making, Data Analytics for Business emerges as an indispensable tool.
This textbook equips learners with the essential skills and knowledge to navigate and interpret complex data landscapes, transforming them into invaluable assets within the business environment.
By incorporating practical assignments in Excel and Tableau—the software that is the basis of business analytics in many organizations—this book ensures that students are proficient in the theoretical aspects of data analytics and adept in applying these skills in real-world scenarios. Such practical expertise prepares students for immediate career impact, significantly benefiting emerging professionals and the organizations that will employ them.
This comprehensive approach makes 'Data Analytics for Business' an essential component of any curriculum and is the tip of the spear for making data-driven decisions.
Chapter 1
What is Data?
Chapter 2
Data Management
Chapter 3
Data Generation, Collection, and Use
Chapter 4
Internet of Things (IOT)
Chapter 5
Data Mining and Regression
Chapter 6
How to Get Started with Data Analytics
Chapter 7
Data Visualizations
Chapter 8
Charts and Dashboards
Chapter 9
Ethical Considerations in Data Analytics
Andrew Moleff is a Data Analytics for Business professor at Utah Valley University, where he teaches in both graduate and undergraduate programs. His passion for technology and data, and his knack for designing engaging and innovative course content, motivated him to develop a new course on Artificial Intelligence (AI) Prompt Engineering & SQL for Business Decision Making. This stems from his firm belief that every business is a technology and data-generating entity, and success comes when one embraces their inner technologist.
In his professional journey, he served as the Chief Operating Office of a video telecommunications company and the Internal Project Manager and Data Analyst for a resort development company. Those roles helped provide him with a deep understanding of the intersection of technology, data, and business.
He holds an MBA from Utah Valley University, and his technical expertise lies in Excel, Data Visualizations, SQL, and AI Prompt Engineering, where he continuously strives to leverage those skills to improve business decision-making and prepare his students for the challenges of the modern business world.
Outside of his professional life, he is an ardent adventurer who enjoys boating, ATVing, and hiking. He also loves cooking, a hobby that allows him to experiment and create, much like his work in the technology and data realm. He believes in maintaining a healthy balance between his professional commitments and personal interests, always ready to explore uncharted territories in both data realms and the great outdoors.